Optimal model order reduction based on hybridization of adaptive safe experimentation dynamics-nonlinear sine cosine algorithm

Optimal model order reduction based on hybridization of adaptive safe experimentation dynamics-nonlinear sine cosine algorithm

Convoluted high-order structures as modeled through mathematical principle including telecommunication systems, power plants for urbanized energy supply and aerospace systems are often accompanied by the apparent setbacks in analyzing, experimentation and operational control. The complexity of such...

Full description

Bibliographic Details
Main Authors: Mohd Helmi, Suid, Mohd Ashraf, Ahmad, Salmiah, Ahmad, Mohd Riduwan, Ghazali, Mohd Zaidi, Tumari
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/38995/1/Optimal%20Model%20Order%20Reduction%20Based%20on%20Hybridization%20of%20Adaptive.pdf
http://umpir.ump.edu.my/id/eprint/38995/2/Optimal%20model%20order%20reduction%20based%20on%20hybridization%20of%20adaptive%20safe%20experimentation%20dynamics-nonlinear%20sine%20cosine%20algorithm_ABS.pdf

Internet

http://umpir.ump.edu.my/id/eprint/38995/1/Optimal%20Model%20Order%20Reduction%20Based%20on%20Hybridization%20of%20Adaptive.pdf
http://umpir.ump.edu.my/id/eprint/38995/2/Optimal%20model%20order%20reduction%20based%20on%20hybridization%20of%20adaptive%20safe%20experimentation%20dynamics-nonlinear%20sine%20cosine%20algorithm_ABS.pdf

Similar Items